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        Package&nbsp;analysis ::
        Module&nbsp;Indicators
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<!-- ==================== MODULE DESCRIPTION ==================== -->
<h1 class="epydoc">Module Indicators</h1><p class="nomargin-top"><span class="codelink"><a href="analysis.Indicators-pysrc.html">source&nbsp;code</a></span></p>
<p>Created on Dec 7, 2009</p>

<hr />
<div class="fields">      <dl><dt>Authors:</dt>
        <dd>
          Freymam Vallejo,
          Jorge Ortiz
        </dd>
      </dl>
</div><!-- ==================== FUNCTIONS ==================== -->
<a name="section-Functions"></a>
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      <span class="summary-type">list.</span>
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          <td><span class="summary-sig"><a href="analysis.Indicators-module.html#compute_indicators" class="summary-sig-name">compute_indicators</a>(<span class="summary-sig-arg">file_name</span>,
        <span class="summary-sig-arg">datetime_start</span>,
        <span class="summary-sig-arg">datetime_finish</span>,
        <span class="summary-sig-arg">time</span>)</span><br />
      Computes SNA indicator.</td>
          <td align="right" valign="top">
            <span class="codelink"><a href="analysis.Indicators-pysrc.html#compute_indicators">source&nbsp;code</a></span>
            
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    <td width="15%" align="right" valign="top" class="summary">
      <span class="summary-type">dictionary.</span>
    </td><td class="summary">
      <table width="100%" cellpadding="0" cellspacing="0" border="0">
        <tr>
          <td><span class="summary-sig"><a href="analysis.Indicators-module.html#compute_indicators_aux" class="summary-sig-name">compute_indicators_aux</a>(<span class="summary-sig-arg">graphs_loader</span>)</span><br />
      Computes SNA indicator.</td>
          <td align="right" valign="top">
            <span class="codelink"><a href="analysis.Indicators-pysrc.html#compute_indicators_aux">source&nbsp;code</a></span>
            
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    <td width="15%" align="right" valign="top" class="summary">
      <span class="summary-type">list.</span>
    </td><td class="summary">
      <table width="100%" cellpadding="0" cellspacing="0" border="0">
        <tr>
          <td><span class="summary-sig"><a href="analysis.Indicators-module.html#actor_answers" class="summary-sig-name">actor_answers</a>(<span class="summary-sig-arg">iasna_digraph</span>)</span><br />
      Actor Indicator used in process communication.</td>
          <td align="right" valign="top">
            <span class="codelink"><a href="analysis.Indicators-pysrc.html#actor_answers">source&nbsp;code</a></span>
            
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      <span class="summary-type">dictionary.</span>
    </td><td class="summary">
      <table width="100%" cellpadding="0" cellspacing="0" border="0">
        <tr>
          <td><span class="summary-sig"><a href="analysis.Indicators-module.html#network_answers" class="summary-sig-name">network_answers</a>(<span class="summary-sig-arg">iasna_digraph</span>)</span><br />
      Network Indicator used in process communication.</td>
          <td align="right" valign="top">
            <span class="codelink"><a href="analysis.Indicators-pysrc.html#network_answers">source&nbsp;code</a></span>
            
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      <span class="summary-type">float.</span>
    </td><td class="summary">
      <table width="100%" cellpadding="0" cellspacing="0" border="0">
        <tr>
          <td><span class="summary-sig"><a href="analysis.Indicators-module.html#caf_value_connetivity" class="summary-sig-name">caf_value_connetivity</a>(<span class="summary-sig-arg">connectivity</span>)</span><br />
      Convert connetivity result string to number value.</td>
          <td align="right" valign="top">
            <span class="codelink"><a href="analysis.Indicators-pysrc.html#caf_value_connetivity">source&nbsp;code</a></span>
            
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      </table>
      
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<tr>
    <td width="15%" align="right" valign="top" class="summary">
      <span class="summary-type">dictionary.</span>
    </td><td class="summary">
      <table width="100%" cellpadding="0" cellspacing="0" border="0">
        <tr>
          <td><span class="summary-sig"><a href="analysis.Indicators-module.html#collaborative_activity_function" class="summary-sig-name">collaborative_activity_function</a>(<span class="summary-sig-arg">iasna_digraph</span>)</span><br />
      Network Indicator used in process Cooperation.</td>
          <td align="right" valign="top">
            <span class="codelink"><a href="analysis.Indicators-pysrc.html#collaborative_activity_function">source&nbsp;code</a></span>
            
          </td>
        </tr>
      </table>
      
    </td>
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<tr>
    <td width="15%" align="right" valign="top" class="summary">
      <span class="summary-type">dictionary.</span>
    </td><td class="summary">
      <table width="100%" cellpadding="0" cellspacing="0" border="0">
        <tr>
          <td><span class="summary-sig"><a href="analysis.Indicators-module.html#optional_collaborative_activity_function" class="summary-sig-name">optional_collaborative_activity_function</a>(<span class="summary-sig-arg">iasna_digraph</span>)</span><br />
      Network Indicator used in process Cooperation.</td>
          <td align="right" valign="top">
            <span class="codelink"><a href="analysis.Indicators-pysrc.html#optional_collaborative_activity_function">source&nbsp;code</a></span>
            
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      <span class="summary-type">list.</span>
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          <td><span class="summary-sig"><a href="analysis.Indicators-module.html#get_types_nodes" class="summary-sig-name">get_types_nodes</a>(<span class="summary-sig-arg">digraph</span>,
        <span class="summary-sig-arg">tipo</span>)</span><br />
      Return a list of nodes with the given type.</td>
          <td align="right" valign="top">
            <span class="codelink"><a href="analysis.Indicators-pysrc.html#get_types_nodes">source&nbsp;code</a></span>
            
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    <td width="15%" align="right" valign="top" class="summary">
      <span class="summary-type">dictionary.</span>
    </td><td class="summary">
      <table width="100%" cellpadding="0" cellspacing="0" border="0">
        <tr>
          <td><span class="summary-sig"><a href="analysis.Indicators-module.html#collaboration_function" class="summary-sig-name">collaboration_function</a>(<span class="summary-sig-arg">iasna_digraph</span>)</span><br />
      Network Indicator used in process Cooperation.</td>
          <td align="right" valign="top">
            <span class="codelink"><a href="analysis.Indicators-pysrc.html#collaboration_function">source&nbsp;code</a></span>
            
          </td>
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      <span class="summary-type">&nbsp;</span>
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        <tr>
          <td><span class="summary-sig"><a href="analysis.Indicators-module.html#list_proportion" class="summary-sig-name">list_proportion</a>(<span class="summary-sig-arg">mylist</span>)</span><br />
      Transform a list to proportion values.</td>
          <td align="right" valign="top">
            <span class="codelink"><a href="analysis.Indicators-pysrc.html#list_proportion">source&nbsp;code</a></span>
            
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    <td width="15%" align="right" valign="top" class="summary">
      <span class="summary-type">list.</span>
    </td><td class="summary">
      <table width="100%" cellpadding="0" cellspacing="0" border="0">
        <tr>
          <td><span class="summary-sig"><a href="analysis.Indicators-module.html#actor_coordination" class="summary-sig-name">actor_coordination</a>(<span class="summary-sig-arg">iasna_digraph</span>)</span><br />
      Actor Indicator used in process communication.</td>
          <td align="right" valign="top">
            <span class="codelink"><a href="analysis.Indicators-pysrc.html#actor_coordination">source&nbsp;code</a></span>
            
          </td>
        </tr>
      </table>
      
    </td>
  </tr>
<tr>
    <td width="15%" align="right" valign="top" class="summary">
      <span class="summary-type">dictionary.</span>
    </td><td class="summary">
      <table width="100%" cellpadding="0" cellspacing="0" border="0">
        <tr>
          <td><span class="summary-sig"><a href="analysis.Indicators-module.html#network_coordination" class="summary-sig-name">network_coordination</a>(<span class="summary-sig-arg">iasna_digraph</span>)</span><br />
      Network Indicator used in process Cooperation.</td>
          <td align="right" valign="top">
            <span class="codelink"><a href="analysis.Indicators-pysrc.html#network_coordination">source&nbsp;code</a></span>
            
          </td>
        </tr>
      </table>
      
    </td>
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<tr>
    <td width="15%" align="right" valign="top" class="summary">
      <span class="summary-type">dictionary.</span>
    </td><td class="summary">
      <table width="100%" cellpadding="0" cellspacing="0" border="0">
        <tr>
          <td><span class="summary-sig"><a href="analysis.Indicators-module.html#save_indicators_to_xml" class="summary-sig-name">save_indicators_to_xml</a>(<span class="summary-sig-arg">indicators_evolution</span>,
        <span class="summary-sig-arg">filename</span>)</span><br />
      Save the indicators into a xml file, furthermore this file can be 
      load by the IASNA Reflexion Board or any other IASNA tools.</td>
          <td align="right" valign="top">
            <span class="codelink"><a href="analysis.Indicators-pysrc.html#save_indicators_to_xml">source&nbsp;code</a></span>
            
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<!-- ==================== VARIABLES ==================== -->
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        <a name="__package__"></a><span class="summary-name">__package__</span> = <code title="'analysis'"><code class="variable-quote">'</code><code class="variable-string">analysis</code><code class="variable-quote">'</code></code>
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<!-- ==================== FUNCTION DETAILS ==================== -->
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<a name="compute_indicators"></a>
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<tr><td>
  <table width="100%" cellpadding="0" cellspacing="0" border="0">
  <tr valign="top"><td>
  <h3 class="epydoc"><span class="sig"><span class="sig-name">compute_indicators</span>(<span class="sig-arg">file_name</span>,
        <span class="sig-arg">datetime_start</span>,
        <span class="sig-arg">datetime_finish</span>,
        <span class="sig-arg">time</span>)</span>
  </h3>
  </td><td align="right" valign="top"
    ><span class="codelink"><a href="analysis.Indicators-pysrc.html#compute_indicators">source&nbsp;code</a></span>&nbsp;
    </td>
  </tr></table>
  
  <p>Computes SNA indicator.</p>
  <dl class="fields">
    <dt>Parameters:</dt>
    <dd><ul class="nomargin-top">
        <li><strong class="pname"><code>file_name</code></strong> (string) - file name for xml source file.</li>
        <li><strong class="pname"><code>datetime_start</code></strong> (datetime) - Datetime from the activity to init data load. Use None for not 
          datetime filtering in such cases it uses session filtering.</li>
        <li><strong class="pname"><code>datetime_finish</code></strong> (datetime) - Datetime from the activity to stop data load. Use None for not 
          datetime filtering in such cases it uses session filtering.</li>
        <li><strong class="pname"><code>time</code></strong> (number) - it is used when the datetime_start is specified, else use 0.</li>
    </ul></dd>
    <dt>Returns: list.</dt>
        <dd>list with the evolution of indicators.</dd>
  </dl>
</td></tr></table>
</div>
<a name="compute_indicators_aux"></a>
<div>
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       cellspacing="0" width="100%" bgcolor="white">
<tr><td>
  <table width="100%" cellpadding="0" cellspacing="0" border="0">
  <tr valign="top"><td>
  <h3 class="epydoc"><span class="sig"><span class="sig-name">compute_indicators_aux</span>(<span class="sig-arg">graphs_loader</span>)</span>
  </h3>
  </td><td align="right" valign="top"
    ><span class="codelink"><a href="analysis.Indicators-pysrc.html#compute_indicators_aux">source&nbsp;code</a></span>&nbsp;
    </td>
  </tr></table>
  
  <p>Computes SNA indicator. Auxiliary function.</p>
  <dl class="fields">
    <dt>Parameters:</dt>
    <dd><ul class="nomargin-top">
        <li><strong class="pname"><code>graphs_loader</code></strong> (Graphs_loader) - Graphs_loader object from Graphs_loader class for IASNA Digraph.</li>
    </ul></dd>
    <dt>Returns: dictionary.</dt>
        <dd>it includes indicators value for a singular time.</dd>
  </dl>
</td></tr></table>
</div>
<a name="actor_answers"></a>
<div>
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       cellspacing="0" width="100%" bgcolor="white">
<tr><td>
  <table width="100%" cellpadding="0" cellspacing="0" border="0">
  <tr valign="top"><td>
  <h3 class="epydoc"><span class="sig"><span class="sig-name">actor_answers</span>(<span class="sig-arg">iasna_digraph</span>)</span>
  </h3>
  </td><td align="right" valign="top"
    ><span class="codelink"><a href="analysis.Indicators-pysrc.html#actor_answers">source&nbsp;code</a></span>&nbsp;
    </td>
  </tr></table>
  
  <p>Actor Indicator used in process communication. Depend of: Status or 
  Rank Prestige, Degree Prestige.</p>
  <dl class="fields">
    <dt>Parameters:</dt>
    <dd><ul class="nomargin-top">
        <li><strong class="pname"><code>iasna_digraph</code></strong> (Graphs_loader) - Graphs_loader object from Graphs_loader class for IASNA Digraph.</li>
    </ul></dd>
    <dt>Returns: list.</dt>
        <dd>list of nodal indicators.</dd>
  </dl>
</td></tr></table>
</div>
<a name="network_answers"></a>
<div>
<table class="details" border="1" cellpadding="3"
       cellspacing="0" width="100%" bgcolor="white">
<tr><td>
  <table width="100%" cellpadding="0" cellspacing="0" border="0">
  <tr valign="top"><td>
  <h3 class="epydoc"><span class="sig"><span class="sig-name">network_answers</span>(<span class="sig-arg">iasna_digraph</span>)</span>
  </h3>
  </td><td align="right" valign="top"
    ><span class="codelink"><a href="analysis.Indicators-pysrc.html#network_answers">source&nbsp;code</a></span>&nbsp;
    </td>
  </tr></table>
  
  <p>Network Indicator used in process communication. Depend of: Density, 
  Group Degree Centralization.</p>
  <dl class="fields">
    <dt>Parameters:</dt>
    <dd><ul class="nomargin-top">
        <li><strong class="pname"><code>iasna_digraph</code></strong> (Graphs_loader) - Graphs_loader object from Graphs_loader class for IASNA Digraph.</li>
    </ul></dd>
    <dt>Returns: dictionary.</dt>
        <dd>dictionary with indicator name and value.</dd>
  </dl>
</td></tr></table>
</div>
<a name="caf_value_connetivity"></a>
<div>
<table class="details" border="1" cellpadding="3"
       cellspacing="0" width="100%" bgcolor="white">
<tr><td>
  <table width="100%" cellpadding="0" cellspacing="0" border="0">
  <tr valign="top"><td>
  <h3 class="epydoc"><span class="sig"><span class="sig-name">caf_value_connetivity</span>(<span class="sig-arg">connectivity</span>)</span>
  </h3>
  </td><td align="right" valign="top"
    ><span class="codelink"><a href="analysis.Indicators-pysrc.html#caf_value_connetivity">source&nbsp;code</a></span>&nbsp;
    </td>
  </tr></table>
  
  <p>Convert connetivity result string to number value.</p>
  <dl class="fields">
    <dt>Parameters:</dt>
    <dd><ul class="nomargin-top">
        <li><strong class="pname"><code>connectivity</code></strong> (string) - it is generated from Connectivity.digraph_connectivity (digraph).</li>
    </ul></dd>
    <dt>Returns: float.</dt>
        <dd>number into the range(0.00, 1.00).</dd>
  </dl>
</td></tr></table>
</div>
<a name="collaborative_activity_function"></a>
<div>
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       cellspacing="0" width="100%" bgcolor="white">
<tr><td>
  <table width="100%" cellpadding="0" cellspacing="0" border="0">
  <tr valign="top"><td>
  <h3 class="epydoc"><span class="sig"><span class="sig-name">collaborative_activity_function</span>(<span class="sig-arg">iasna_digraph</span>)</span>
  </h3>
  </td><td align="right" valign="top"
    ><span class="codelink"><a href="analysis.Indicators-pysrc.html#collaborative_activity_function">source&nbsp;code</a></span>&nbsp;
    </td>
  </tr></table>
  
  <p>Network Indicator used in process Cooperation. Depend of: Proximity 
  Prestige, Density.</p>
  <dl class="fields">
    <dt>Parameters:</dt>
    <dd><ul class="nomargin-top">
        <li><strong class="pname"><code>iasna_digraph</code></strong> (Graphs_loader) - Graphs_loader object from Graphs_loader class for IASNA Digraph.</li>
    </ul></dd>
    <dt>Returns: dictionary.</dt>
        <dd>dictionary with indicator name and value.</dd>
  </dl>
</td></tr></table>
</div>
<a name="optional_collaborative_activity_function"></a>
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       cellspacing="0" width="100%" bgcolor="white">
<tr><td>
  <table width="100%" cellpadding="0" cellspacing="0" border="0">
  <tr valign="top"><td>
  <h3 class="epydoc"><span class="sig"><span class="sig-name">optional_collaborative_activity_function</span>(<span class="sig-arg">iasna_digraph</span>)</span>
  </h3>
  </td><td align="right" valign="top"
    ><span class="codelink"><a href="analysis.Indicators-pysrc.html#optional_collaborative_activity_function">source&nbsp;code</a></span>&nbsp;
    </td>
  </tr></table>
  
  <p>Network Indicator used in process Cooperation. Depend of: Proximity 
  Prestige, Density, Connectivity.</p>
  <dl class="fields">
    <dt>Parameters:</dt>
    <dd><ul class="nomargin-top">
        <li><strong class="pname"><code>iasna_digraph</code></strong> (Graphs_loader) - Graphs_loader object from Graphs_loader class for IASNA Digraph.</li>
    </ul></dd>
    <dt>Returns: dictionary.</dt>
        <dd>dictionary with indicator name and value.</dd>
  </dl>
</td></tr></table>
</div>
<a name="get_types_nodes"></a>
<div>
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       cellspacing="0" width="100%" bgcolor="white">
<tr><td>
  <table width="100%" cellpadding="0" cellspacing="0" border="0">
  <tr valign="top"><td>
  <h3 class="epydoc"><span class="sig"><span class="sig-name">get_types_nodes</span>(<span class="sig-arg">digraph</span>,
        <span class="sig-arg">tipo</span>)</span>
  </h3>
  </td><td align="right" valign="top"
    ><span class="codelink"><a href="analysis.Indicators-pysrc.html#get_types_nodes">source&nbsp;code</a></span>&nbsp;
    </td>
  </tr></table>
  
  <p>Return a list of nodes with the given type.</p>
  <dl class="fields">
    <dt>Parameters:</dt>
    <dd><ul class="nomargin-top">
        <li><strong class="pname"><code>digraph</code></strong> (Digraph) - Pygraph Digraph.</li>
        <li><strong class="pname"><code>tipo</code></strong> (string) - type tag saved in label attribute.</li>
    </ul></dd>
    <dt>Returns: list.</dt>
        <dd>list whith nodes with type is tipo attr.</dd>
  </dl>
</td></tr></table>
</div>
<a name="collaboration_function"></a>
<div>
<table class="details" border="1" cellpadding="3"
       cellspacing="0" width="100%" bgcolor="white">
<tr><td>
  <table width="100%" cellpadding="0" cellspacing="0" border="0">
  <tr valign="top"><td>
  <h3 class="epydoc"><span class="sig"><span class="sig-name">collaboration_function</span>(<span class="sig-arg">iasna_digraph</span>)</span>
  </h3>
  </td><td align="right" valign="top"
    ><span class="codelink"><a href="analysis.Indicators-pysrc.html#collaboration_function">source&nbsp;code</a></span>&nbsp;
    </td>
  </tr></table>
  
  <p>Network Indicator used in process Cooperation. Depend of: History 
  Function, Proximity Prestige, Degree Prestige.</p>
  <dl class="fields">
    <dt>Parameters:</dt>
    <dd><ul class="nomargin-top">
        <li><strong class="pname"><code>iasna_digraph</code></strong> (Graphs_loader) - Graphs_loader object from Graphs_loader class for IASNA Digraph.</li>
    </ul></dd>
    <dt>Returns: dictionary.</dt>
        <dd>dictionary with indicator name and value.</dd>
  </dl>
</td></tr></table>
</div>
<a name="list_proportion"></a>
<div>
<table class="details" border="1" cellpadding="3"
       cellspacing="0" width="100%" bgcolor="white">
<tr><td>
  <table width="100%" cellpadding="0" cellspacing="0" border="0">
  <tr valign="top"><td>
  <h3 class="epydoc"><span class="sig"><span class="sig-name">list_proportion</span>(<span class="sig-arg">mylist</span>)</span>
  </h3>
  </td><td align="right" valign="top"
    ><span class="codelink"><a href="analysis.Indicators-pysrc.html#list_proportion">source&nbsp;code</a></span>&nbsp;
    </td>
  </tr></table>
  
  <p>Transform a list to proportion values. Precation, the values are 
  irreversibles.</p>
  <dl class="fields">
    <dt>Parameters:</dt>
    <dd><ul class="nomargin-top">
        <li><strong class="pname"><code>mylist</code></strong> (list) - list of numbers.</li>
    </ul></dd>
  </dl>
</td></tr></table>
</div>
<a name="actor_coordination"></a>
<div>
<table class="details" border="1" cellpadding="3"
       cellspacing="0" width="100%" bgcolor="white">
<tr><td>
  <table width="100%" cellpadding="0" cellspacing="0" border="0">
  <tr valign="top"><td>
  <h3 class="epydoc"><span class="sig"><span class="sig-name">actor_coordination</span>(<span class="sig-arg">iasna_digraph</span>)</span>
  </h3>
  </td><td align="right" valign="top"
    ><span class="codelink"><a href="analysis.Indicators-pysrc.html#actor_coordination">source&nbsp;code</a></span>&nbsp;
    </td>
  </tr></table>
  
  <p>Actor Indicator used in process communication. Depend of: Work, 
  Argumentation, Iniciative, Lateral.</p>
  <dl class="fields">
    <dt>Parameters:</dt>
    <dd><ul class="nomargin-top">
        <li><strong class="pname"><code>iasna_digraph</code></strong> (Graphs_loader) - Graphs_loader object from Graphs_loader class for IASNA Digraph.</li>
    </ul></dd>
    <dt>Returns: list.</dt>
        <dd>list of nodal indicators.</dd>
  </dl>
</td></tr></table>
</div>
<a name="network_coordination"></a>
<div>
<table class="details" border="1" cellpadding="3"
       cellspacing="0" width="100%" bgcolor="white">
<tr><td>
  <table width="100%" cellpadding="0" cellspacing="0" border="0">
  <tr valign="top"><td>
  <h3 class="epydoc"><span class="sig"><span class="sig-name">network_coordination</span>(<span class="sig-arg">iasna_digraph</span>)</span>
  </h3>
  </td><td align="right" valign="top"
    ><span class="codelink"><a href="analysis.Indicators-pysrc.html#network_coordination">source&nbsp;code</a></span>&nbsp;
    </td>
  </tr></table>
  
  <p>Network Indicator used in process Cooperation. Depend of: Work, 
  Argumentation, Iniciative, Lateral.</p>
  <dl class="fields">
    <dt>Parameters:</dt>
    <dd><ul class="nomargin-top">
        <li><strong class="pname"><code>iasna_digraph</code></strong> (Graphs_loader) - Graphs_loader object from Graphs_loader class for IASNA Digraph.</li>
    </ul></dd>
    <dt>Returns: dictionary.</dt>
        <dd>dictionary with indicator name and value.</dd>
  </dl>
</td></tr></table>
</div>
<a name="save_indicators_to_xml"></a>
<div>
<table class="details" border="1" cellpadding="3"
       cellspacing="0" width="100%" bgcolor="white">
<tr><td>
  <table width="100%" cellpadding="0" cellspacing="0" border="0">
  <tr valign="top"><td>
  <h3 class="epydoc"><span class="sig"><span class="sig-name">save_indicators_to_xml</span>(<span class="sig-arg">indicators_evolution</span>,
        <span class="sig-arg">filename</span>)</span>
  </h3>
  </td><td align="right" valign="top"
    ><span class="codelink"><a href="analysis.Indicators-pysrc.html#save_indicators_to_xml">source&nbsp;code</a></span>&nbsp;
    </td>
  </tr></table>
  
  <p>Save the indicators into a xml file, furthermore this file can be load
  by the IASNA Reflexion Board or any other IASNA tools.</p>
  <dl class="fields">
    <dt>Parameters:</dt>
    <dd><ul class="nomargin-top">
        <li><strong class="pname"><code>indicators_evolution</code></strong> (dictionary) - contains the calculated indicators for many times.</li>
    </ul></dd>
    <dt>Returns: dictionary.</dt>
        <dd>dictionary with indicators.</dd>
  </dl>
</td></tr></table>
</div>
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